Masterstudium Business Informatics - Fakultät für Informatik, TU Wien
Masterstudium Business Informatics - Fakultät für Informatik, TU Wien
Masterstudium Business Informatics - Fakultät für Informatik, TU Wien
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SBI/KM3 - Semantic Web<br />
ECTS-Credits: 6.0<br />
Summary: The goal of this module is to introduce Semantic Web vision and basic understanding<br />
of Semantic Web technologies. The Semantic Web supports extensive possibilities<br />
for automated interrelation and query of information and processes. In this context<br />
Ontology as the building block of Semantic Web will be introduced and some important<br />
properties of ontologies will be discussed. It will be also shown how ontologies can<br />
support varied applications in dierent knowledge domains. This module also introduces<br />
some emerging trends in ontologies and Semantic Web eld, such as Linked Open Data.<br />
Furthermore, Based on the standard formats and languages such as XML, RDF(S)<br />
and OWL, some technologies and tools are presented that facilitate semi-automatic integration<br />
of various data sources. In this module mapping algorithms and interfaces for<br />
semi-automatic alignment of data, based on recent research results will be introduced.<br />
Learning Outcomes:<br />
Knowledge:<br />
Skills:<br />
• Learning Semantic Web vision and basic concepts<br />
• Potentials and limitations of interrelating metadata<br />
• Practical exploration of current mapping methods and tools<br />
• Tools and techniques for Ontology Alignment and Ontology Mapping<br />
• Knowledge about Semantic Web and Ontologies<br />
• Skills needed to perform semantic modeling of a target domain based on Semantic<br />
Web and Ontologies<br />
• Ability to capture and model semantic concepts of dierent domains<br />
• Ability to bridge the information gap between dierent knowledge domains<br />
• Ability to programmatically use Semantic Web technologies<br />
Competences:<br />
• Problem solving and development for dierent use-cases<br />
• Deepening the own knowledge<br />
• Enhancement of personal initiative and responsibility<br />
• Developing scientic interest<br />
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